石油地质与工程2024，Vol.38Issue(3)：77-81,89,6.
基于帝国竞争反向传播神经网络的断块油田开发顺序优化
Development sequence optimization of fault-block oilfields based on the ICA-BP algorithm
徐庆岩 1孙晓飞 2翟光华 3王瑞峰 1雷诚 1张瑾琳1
作者信息
- 1. 中国石油勘探开发研究院,北京 100083
- 2. 中国石油大学(华东),山东青岛 266000
- 3. 中国石油国际勘探开发有限公司,北京 100085
- 折叠
摘要
Abstract
Defining the development sequence of each fault block in the fault-block oilfield group is a pre-requisite for the development scheme design.When the number of fault block oil fields is few,the combina-tion of technology and economy can be compared,but when the number is large,it will form a massive com-bination and take a long time.Existing methods include weight evaluation,analytic hierarchy process,com-prehensive fuzzy evaluation,etc and they have strong subjectivity in selecting evaluation indicators and indi-cator weights,and cannot achieve completely objective evaluation.Therefore,ICA-BP algorithm,an im-proved back propagation neural network model based on the imperial competition algorithm is proposed.Firstly,Spearman correlation coefficient method is used to determine the main control factors affecting the development of fault-block oilfield,and then Hermite interpolation method is used to expand the fault-block oilfield group development database.Finally,based on a large number of training samples of the ex-panded database,the improved back propagation neural network model based on the imperial competition al-gorithm can determine the weight of the parameters affecting the development effect and predict the net pres-ent value of each fault block oilfield.The development order of each fault block can be determined accord-ing to the net present value.This method is based on the geological reservoir database of the actual fault-block oilfield group as the evaluation basis.The development sequence of fault-block oilfield is more sci-entific and reasonable,and the overall net present value of the project is significantly higher than the devel-opment sequence combination determined by traditional methods,avoiding human subjectivity,saving the workload of numerical simulation and economic evaluation,and overcoming the limitations of existing meth-ods.It is meaningful to improve the comprehensive benefit of the development of fault-block oilfield groups.关键词
帝国竞争算法/反向传播神经网络/开发参数权重/投产顺序优化/断块油田群/净现值Key words
imperialist competition algorithm/back propagation neural network/development parameter weight/production sequence optimization/fault block oilfield group/net present value分类
能源科技引用本文复制引用
徐庆岩,孙晓飞,翟光华,王瑞峰,雷诚,张瑾琳..基于帝国竞争反向传播神经网络的断块油田开发顺序优化[J].石油地质与工程,2024,38(3):77-81,89,6.
